# Label Review Analytics: Category Frequencies + Trailing Mean Series

> Label Review Analytics: Category Frequencies + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Generates two analytical reports for label review data: category frequency distributions and trailing mean series for reviewed_records or changed_labels metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-103?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/label-review-analytics-category-frequencies-trailing-mean-series-6e6be047
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pdT55QhZYEM2OX86oPcet

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability label-review-analytics-category-frequencies-trailing-mean-series-6e6be047 -d '<json body>'
```

Example prompt: Run category frequency and trailing mean reports on my label review data — here are 50 rows with row_id, dataset_group, date, reviewed_records, and changed_labels fields. Use a window of 5 and compute the trailing mean for reviewed_records.

## When to prefer this

Choose this endpoint when you have label review tabular data (up to 200 rows) and need both a category frequency breakdown by dataset_group and a rolling/trailing mean series for a numeric metric in a single low-cost call. It's ideal for MLOps, annotation pipeline monitoring, or data quality review workflows where no external data, live lookup, or prediction is needed — just local analytical summaries of supplied records.

## Known failure modes

- Input array is empty or missing — returns validation error
- Row count exceeds 200 — request rejected
- Window size greater than number of rows — trailing mean may produce null/partial values for early rows
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required row fields (row_id, reviewed_records, changed_labels) — rejected
- Field enum value not recognized — validation error

## How this service works

Label review — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series for supplied label review records (reviewed_records, changed_labels). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) a trailing mean series showing the rolling average of the selected field (reviewed_records or changed_labels) computed over the specified window size, both derived entirely from the supplied data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "reviewed_records",
     "changed_labels"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "changed_labels": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "reviewed_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "changed_labels": 1,
     "reviewed_records": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "changed_labels": 2,
     "reviewed_records": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "changed_labels": 3,
     "reviewed_records": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "changed_labels": 4,
     "reviewed_records": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "reviewed_records",
    "changed_labels"
   ],
   "type": "string",
   "default": "reviewed_records"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-category-frequencies-trailing-mean-series-6e6be047/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)